Collective Minds & Machines Exploration Challenge
TopCoder, along with the NASA Tournament Lab and UCSD bring you the Collective Minds and Machine Learning Exploration Challenge. This challenge asks TopCoder community members from around the world to study select satellite imagery of the region of the lost tomb of Genghis Khan and then develop an algorithm that will recognize human built, and potentially historically significant, structures found in those images.
Harvard Business School in association with Harvard's Institute of Quantitative Social Science are strategic participants in NASA's Center of Excellence for Collaborative Innovation and the NASA Tournament Lab.
Learn More About Harvard-NTL
Albert Yu-min Lin
National Geographic Emerging Explorer and UCSD Research Scientist who successfully utilized the technique of crowdsourcing to help in a satellite imagery labeling initiative
NASA Tournament Lab
NASA, Harvard Business School in association with Harvard's Institute of Quantitative Social Sciences, and TopCoder have established the NASA Tournament Lab (NTL), which will enable the TopCoder community to compete amongst each other to create the most innovative, most efficient, and most optimized solutions for specific, real-world challenges being faced by NASA researchers.
Learn More About NTL